Jan Czarnocki Explains How AI Could Transform Prediction Markets | Prediction Market Movers

Jan Czarnocki Explains How AI Could Transform Prediction Markets | Prediction Market Movers

In this episode of Prediction Market Movers, Chris Gerlacher sits down with Jan Czarnocki of Elastics AI to explore how artificial intelligence could reshape the future of prediction market trading. Jan explains how Elastics AI is building tools that allow traders to turn market convictions into automated strategies. The conversation dives into the growing intersection of AI, forecasting, and financial markets. Jan discusses the challenges of using large language models in prediction markets, the importance of deterministic execution, and how AI agents can help traders process information, manage positions, and identify opportunities more efficiently. They also discuss prediction market infrastructure, market resolution systems, and the evolving role of automation in trading. Chris and Jan examine where the industry is headed as prediction markets continue to mature. They discuss institutional adoption, the growing demand for market intelligence tools, the role of data in forecasting, and how AI-powered systems may become an essential layer of the prediction market ecosystem. 👉 Subscribe to Prediction Market Movers for weekly conversations with traders, legal experts, entertainers and industry insiders shaping the future of prediction markets. For more information on the prediction markets visit www.predictionnews.com 00:00 - Intro edit read 1:30 - Quants at Goldman Sachs 3:30 - How did this become Elastics Ai 4:45 - Inside Elastics Ai 8:20 - Ai bots hallucinating 12:00 - Why hasn’t Ai caught up to it’s maximum possibility 14:00 - On more specialty markets 16:00 - LLMs becoming the next stage of UI 19:00 - Hardcoding LLMs 20:45 - How will markets evolve? 25:00 - Market Resolution evolution 29:30 - Next steps for Elastic Ai #PredictionMarkets #PredictionMarketMovers #AIAgents #Kalshi #Polymarket #ElasticsAI #Forecasting #QuantTrading #ArtificialIntelligence #Fintech #PredictionNews

Ed Silva on DraftKings, Political Trading & Prediction Market Data | Prediction Market Movers

Ed Silva joins Prediction Market Movers to discuss his decade at DraftKings, the evolution of sports betting, and how those lessons apply to the rapidly growing prediction market industry. Ed explains the similarities and differences between sports bettors and political traders, liquidity challenges, and why prediction markets still feel like an early-stage industry. The conversation explores prediction market data, election forecasting, user behavior, prediction market infrastructure, and how traders can identify signal in increasingly complex markets. Ed also discusses the challenges of building data products for politics compared to sports, where decades of data already exist. Chris Gerlacher and Ed Silva also break down the future of Prediction Edge, how polling, fundraising, endorsements, and prediction market odds can be combined into actionable insights, and why data-driven election analysis could become one of the most important use cases for prediction markets ahead of the 2026 midterms and beyond. 👉 Subscribe to Prediction Market Movers for weekly conversations with traders, legal experts, entertainers and industry insiders shaping the future of prediction markets. For more information on the Prediction Edge visit www.predictionedge.com [http://www.predictionedge.com] 00:00 - Intro 1:30 - Time at DraftKings 2:30 - Being on the founder side 3:30 - Going sports to politics 5:30 - Difference between sports and political trading 7:00 - Square trading in politics 10:50 - Price sensitive sports betters 12:30 - Response to Kalish’s tweets 16:45 - How has data been underutilized in the PM industry? 19:00 - What’s missing in prediction markets? 20:30 - Prediction Edge 22:30 - Features on Prediction Edge 25:50 - Screening out bad data   #PredictionMarkets #PredictionMarketMovers #Kalshi #Polymarket #DraftKings #ElectionForecasting #PoliticalBetting #PredictionEdge #SportsBetting #Trading

Avi Arora on Oddpool, Institutional Traders & Prediction Market Data | Prediction Market Movers

On this edition of Prediction Market Movers, Chris Gerlacher sits down with Avi Arora, co-founder of Oddpool, to discuss how institutional traders are approaching prediction markets and what infrastructure is still missing for large-scale adoption. The conversation covers Kalshi, Polymarket, historical tick-level data, market-making, liquidity, institutional flow, prediction market analytics, and how Oddpool is building data tools for traders and hedge funds. Avi explains how he became interested in prediction markets through mention markets, statistical trading strategies, low-latency broadcast signals, and speech-to-text analysis. The episode also dives into how prediction market data can be used for backtesting, quantitative trading, AI forecasting models, and market pricing across platforms. The discussion also explores Y Combinator, startup founder dynamics, fundraising, prediction market regulation, and how companies like Kalshi helped push the industry forward. Avi shares insights into building Oddpool, collecting normalized market data across venues, and why the prediction market data layer could become one of the most valuable segments of the industry over the next several years. 👉 Subscribe to Prediction Market Movers for weekly conversations with traders, legal experts, entertainers and industry insiders shaping the future of prediction markets. For more information on the prediction markets visit www.prediction news.com 00:00 - Intro 1:30 - His start in Prediction Markets 5:15 - Starting Oddpool 6:15 - What is missing in prediction markets? 9:15 - Which contracts should be targeted? 11:20 - Getting into Y Combinator and founder dynamics 14:20 - The benefit of Y Combinator 16:30 - On industry interruptions 20:30 - What does a mature industry look like? 22:30 - Hedging on political events 24:00 - Under appreciated data in prediction markets 27:20 - Next steps for Oddpool #PredictionMarkets #Kalshi #Polymarket #Oddpool #PredictionMarketMovers #QuantTrading #AI #Forecasting #ElectionMarkets #Trading #YCombinator #Finance #InstitutionalTrading #MacroTrading #PredictionNews

John Phillips on PredictIt’s Future, Political Trading & Forecasting | Prediction Market Movers

Prediction Market Movers welcomes John Phillips, co-founder and CEO of PredictIt, for a deep discussion on the evolution of prediction markets, CFTC regulation, and the future of the industry. Chris Gerlacher and John Phillips break down PredictIt’s legal battles with the CFTC, the DCM/DCO licensing process, and how political forecasting markets differ from traditional polling and sports betting platforms. The episode also highlights why politics has become one of the strongest use cases for prediction markets and why prediction market odds may provide valuable forecasting insights beyond polling data. Phillips also discusses PredictIt’s history operating under a no-action letter, the company’s courtroom victory against the CFTC, the risks of overregulation, and why he believes prediction markets will continue expanding across politics, economics, weather, entertainment, and news media. 👉 Subscribe to Prediction Market Movers for weekly conversations with traders, legal experts, entertainers and industry insiders shaping the future of prediction markets. For more information on the prediction markets visit www.predictionnews.com [http://www.predictionnews.com] 00:00 - Intro 3:00 - Utilizing Prediction Markets 4:30 - PredicitIt getting involved in sports 6:30 - “There will be a thousand prediction markets.” 9:15 - Is there a Prediction Market bubble? 11:00 - CFTC value 14:00 - How PMs handle emotionally charged events 17:00 - PredictIt during the pandemic 19:00 - DCM application and path 22:30 - CFTC post-Trump administration 24:40 - “Some regulation is valuable” 26:00 - What needs to adjusted on the industry side 29:30 - Using PM data in the future   #PredictionMarkets #PredictIt #CFTC #Kalshi #Polymarket #ElectionForecasting #PredictionMarketMovers #Politics #Forecasting #ElectionOdds #Trading #Crypto #SportsBetting #PredictionNews #PoliticalForecasting

Flip Pidot on Political Markets, Bias & Smart Money | Prediction Market Movers

Prediction Market Movers welcomes the Co-founder and CEO of American Civics Exchange Flip Pidot for a deep dive into prediction market efficiency, emotional trading, political forecasting, and the future of derivatives built on top of prediction markets. Chris Gerlacher and Flip discuss how markets process information, why emotional bias creates persistent mispricing, and what separates accurate forecasting from simple market calibration. Chris and Flip break down insider trading concerns in prediction markets, institutional adoption, settlement controversies, and how regulators may approach the rapidly growing prediction market industry over the next several years. The conversation also covers how smart traders identify irrational pricing in highly emotional political markets. The interview finishes with Flip discussing American Civics Exchange, the first US-based commercial market for political futures.   👉 Subscribe to Prediction Market Movers for weekly conversations with traders, legal experts, entertainers and industry insiders shaping the future of prediction markets. For more information on the prediction markets visit www.prediction news.com 00:00 - Intro 1:30 - What makes a market efficient 4:30 - Eliminating friction in the market 7:30 - Emotional bias in the market 12:50 - PredictIt in 2025 17:25 - Duplicate markets and trader limits 20:50 - No action relief/insider trading 34:00 - timeline of investigating insider trading 42:55 - Derivatives layers on prediction markets 53:00 - Market resolution process 59:00 What is American Civics Exchange?